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Job burnout and turnover intention among nurses in China: the mediating effects of positive emotion


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Demographic characteristics of the participants

VariablesNumber of participants%
Gender
Female14798.0
Male32.0
Marital status
Married6140.7
Single8959.3
Age group (in years)
20–2512382.0
26–302315.3
31–3542.7
Education
Technical secondary school96.0
Junior college7650.7
Bachelor6543.3

Mediating effects of positive emotion on burnout and nurses’ turnover intentions

Step 1: turnover intentionsStep 2: positive emotionStep 3: turnover intentions
Variables
B-valueSEβ-valueB-valueSEβ-valueB-valueSEβ-value
Gender–0.1210.135–0.0270.5290.8120.031–0.0670.108–0.015
Age0.0300.0100.108

P < 0.01;

–0.0490.058–0.0450.0250.0080.091

P < 0.01;

Marital status–0.0430.043–0.0350.2100.2590.043–0.0220.035–0.018
Education0.0530.0330.051–0.1800.197–0.0450.0350.0260.034
Burnout0.0850.0030.926

P < 0.01;

–0.2950.017–0.829

P < 0.01;

0.0550.0040.602

P < 0.01;

Positive emotion–0.1000.011–0.391

P < 0.01;

R2–value0.8680.6880.916
F–value189.948

P < 0.01;

63.384

P < 0.01;

260.429

P < 0.01;

Pearson’s correlation test of relationships among burnout, positive emotions, and turnover intentions of nurses

MSD123456
1. Burnout67.176.741
2. Exhaustion19.211.620.0451
3. Cynicism15.711.700.0300.1241
4. Professional efficacy24.931.89–0.125–0.016–0.163

P < 0.05;

1
5. Positive emotion15.352.40–0.826

P < 0.01.

–0.013–0.0100.0841
6. Turnover intention16.290.620.926

P < 0.01.

0.0010.047–0.080–0.893

P < 0.01.

1
eISSN:
2544-8994
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Medicine, Assistive Professions, Nursing